X-Vision: An Augmented Vision Tool with Real-Time Sensing Ability in Tagged Environments
Author(s)
Sun, Yongbin
Kantareddy, Sai Nithin R.
Bhattacharyya, Rahul
Sarma, Sanjay E
Date Issued
December 2018
Journal
2018 IEEE International Conference on RFID Technology & Application
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Sun, Yongbin et al. "X-Vision: An Augmented Vision Tool with Real-Time Sensing Ability in Tagged Environments." 2018 IEEE International Conference on RFID Technology & Application, September 2018, Macau, China, Institute of Electrical and Electronics Engineers (IEEE), December 2018. © 2018 IEEE
Version
Author's final manuscript
Abstract
We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the realtime sensing capability in a tagged environment. We envision that this type of a tool will enhance the user-environment interaction and improve the productivity in factories, smartspaces, home & office environments, maintenance/facility rooms and operation theatres, etc. In this paper, we describe the design of this visualization system built upon combining the object's pose information estimated by the depth camera and the object's ID & physical attributes captured by the RFID tags. We built a physical prototype of the system demonstrating the projection of 3D holograms of the objects encoded with sensed information like water-level and temperature of common office/household objects. The paper also discusses the quality metrics used to compare the pose estimation algorithms for robust reconstruction of the object's 3D data.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/rfid-ta.2018.8552778
